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Proceedings Paper

Efficient methods for correlation-based automatic target recognition
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Paper Abstract

Composite correlation filters (also known as synthetic discriminant function or SDF filters) are attractive for automatic target recognition (ATR) due to their built-in shift-invariance and their potential for trading off distortion tolerance for discrimination. Although the recognition performances of many advanced correlation filters are attractive, their computational complexities can be daunting particularly for ATR applications where the target detection and identification must be achieved in limited time. In this paper, we discuss some methods to reduce the complexity of correlation filter design, performing the cross-correlation as well as the processing of the resulting correlation outputs.

Paper Details

Date Published: 25 July 2002
PDF: 10 pages
Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477025
Show Author Affiliations
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Krithika Venkataramani, Carnegie Mellon Univ. (United States)
Marios Savvides, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 4726:
Automatic Target Recognition XII
Firooz A. Sadjadi, Editor(s)

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